JP Journal of Heat and Mass Transfer
Volume 3, Issue 3, Pages 167 - 197
(October 2009)
|
|
MILK FOULING IN A PLATE HEAT EXCHANGER USING DYNAMIC AND ARTIFICIAL NEURAL NETWORKS MODELS
Youcef Mahdi (Algeria) and Lounès Oufer (Algeria)
|
Abstract: In this article, a neural and two-dimensional dynamic fouling model for milk fouling in a plate heat exchanger is proposed. Emphasis is placed on fouling calculation based on the hydrodynamic and thermodynamic performances of the plate heat exchanger. A 12-channel plate heat exchanger with counter-current flows is used to quantify the milk deposition developed inside the channels. The aggregation rate of unfolded protein is found to increase exponentially with increasing wall temperature and is accompanied by a substantial reduction in the heat transfer coefficient. The neuronal model previously adapted predicts mass deposition, the overall heat transfer coefficient and the critical time. At this time, the unit is stopped for cleaning and reducing the impact of fouling on such processes. The method determines when the cleaning operation is necessary once the system is under critical operational conditions. |
Keywords and phrases: milk, plate heat exchanger, modeling, fouling, pasteurization, neural networks. |
|
Number of Downloads: 231 | Number of Views: 566 |
|